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Journal of NeuroEngineering and Rehabilitation
Published in: Journal of NeuroEngineering and Rehabilitation 1/2014

Open Access 01-12-2014 | Review

Non-invasive control interfaces for intention detection in active movement-assistive devices

Authors: Joan Lobo-Prat, Peter N Kooren, Arno HA Stienen, Just L Herder, Bart FJM Koopman, Peter H Veltink

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2014

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Abstract

Active movement-assistive devices aim to increase the quality of life for patients with neuromusculoskeletal disorders. This technology requires interaction between the user and the device through a control interface that detects the user’s movement intention. Researchers have explored a wide variety of invasive and non-invasive control interfaces. To summarize the wide spectrum of strategies, this paper presents a comprehensive review focused on non-invasive control interfaces used to operate active movement-assistive devices. A novel systematic classification method is proposed to categorize the control interfaces based on: (I) the source of the physiological signal, (II) the physiological phenomena responsible for generating the signal, and (III) the sensors used to measure the physiological signal. The proposed classification method can successfully categorize all the existing control interfaces providing a comprehensive overview of the state of the art. Each sensing modality is briefly described in the body of the paper following the same structure used in the classification method. Furthermore, we discuss several design considerations, challenges, and future directions of non-invasive control interfaces for active movement-assistive devices.
Appendix
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Metadata
Title
Non-invasive control interfaces for intention detection in active movement-assistive devices
Authors
Joan Lobo-Prat
Peter N Kooren
Arno HA Stienen
Just L Herder
Bart FJM Koopman
Peter H Veltink
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2014
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/1743-0003-11-168

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